Data, Analytics & Platforms Manager

Summary

The Data, Analytics \& Platforms Manager leads the country data, analytics and platforms agenda within Execution Excellence by translating international strategy into localized, fit\-for\-purpose data foundations, reporting solutions and customer\-facing technology platforms. The role designs, operates and continuously improves a single, trusted view of business\-critical data across Commercial, Value \& Access and Medical, while also ensuring that core plat\-forms and digital solutions are reliable, compliant, integrated and sustainably adopted.

Working closely with CLS DAP, BSI DAP Operations, I\-MA IMACE, DDIT, Value \& Access, Medical Affairs and local business stakeholders, the role enables data\-driven decision\-making, platform innovation, analytics readiness and operational excellence in line with enter\-prise governance, data privacy and international DAP standards.

About the Role

Major accountabilities:

1\. Data Management and Infrastructure

• Design and maintain the country DAP data foundation, ensuring a federated, single, trusted view of business\-critical data across Commercial, Value \& Access and Medical, aligned with international strategy and governance frameworks.


• Define and document business rules for data ingestion, transformation, aggregation and master data management, ensuring that key datasets are timely, accurate and fit to support reporting, analytics and business execution.


• Coordinate data integration and data flows from key platforms and sources, ensuring consistency between operational systems, reporting layers and analytics use cases.


• Collaborate with DDIT, CLS DAP and BSI DAP Operations on solution design, architecture, standards and sustainable operations.

2\. Platform Ownership and Roadmap Execution

• Lead the country roadmap for core business and customer\-facing platforms, localizing international solutions and sequencing deployments to support Commercial, Value \& Access and Medical priorities.


• Ensure day\-to\-day platform availability, configuration, performance and incident resolution in partnership with DDIT and external vendors, safeguarding business continuity and compliant usage.


• Coordinate platform enhancements based on validated business requirements, ensuring alignment with international templates, governance standards and local operating needs.


• Support vendor and service management by providing requirements, quality criteria and performance feedback for data and platform services.

3\. Data Quality, Governance and Compliance Enablement

• Implement and monitor data quality controls for DAP\-owned datasets and critical platform data, identifying issues and coordinating remediation with data owners, technical teams and business stakeholders.


• Support adherence to data privacy, promotional and non\-promotional standards by ensuring appropriate access models, controls, documentation and governance processes.


• Contribute to data policies, data dictionaries, lineage documentation and usage guidelines to improve trust, consistency and compliant use of data and platforms.


• Collaborate with legal, compliance and governance stakeholders to support risk minimization, appropriate use and ethical adoption of data and AI\-enabled capabilities.

4\. Reporting and Analytics Enablement

• Maintain and enhance the data layer powering key dashboards and analytics products, ensuring consistency of metric definitions, dimensional structures and refresh cycles across business use cases.


• Perform data validation and root\-cause analysis for anomalies in reports, dashboards or platform outputs, coordinating fixes across DAP, DDIT and business stakeholders.


• Enable new analytics and AI or GenAI use cases by ensuring data readiness, platform connectivity and clear business requirements for pilots and scaled solutions.

Key Performance Indicators (Suggested priority KPIs )

• Marketing platform deployment and stability – share of brands/TAs, MA and V\&A processes running on core platforms; uptime and incident metrics.


• Platform and feature adoption – active user rates, usage of key features and reduction in manual workarounds.


• Stakeholder satisfaction – qualitative and survey feedback from Commercial, V\&A and Medical Affairs leaders on platform availability, usability and innovation support.


• Data quality and governance compliance – accuracy, completeness, timeliness, adherence to governance frameworks and release processes.


• Analytics readiness and delivery – timely refreshes, incident resolution time, and enablement of priority analytics or AI use cases.

Ideal Background

Education:

• University degree in business, life sciences, Mathematics, Statistics, Computer Science, Engineering, Analytics, Business or another technical degree.


• Master’s degree preferred

Languages:

• English


• Country language required

Experience/Professional Requirement:

• 5\+ years of relevant experience across pharma data, analytics enablement, digital platforms and/or stakeholder management driving optimization, efficiencies, change management and automation across data and digital ecosystems.


• Strong experience gathering business requirements and translating them into platform product features, data integration needs, user stories and scalable operating solutions.


• Deep pharma data knowledge across commercial, patient services, market access, digital and medical use cases, including connected omnichannel data sets and reporting requirements.


• Strong understanding of regulatory environments, industry codes, promotional and non\-promotional separation, and data privacy requirements.


• Experience as a Product Owner or Data and AI Product Owner responsible for business requirements, features, user stories, acceptance criteria and cross\-functional delivery with business and enabling partners.


• Good knowledge of core business and marketing technology platforms, CRM, data integration and analytics tooling; ability to connect platform capabilities to business value.


• Experience with master data management, data quality, data governance and reporting enablement in a healthcare or similarly regulated environment.


• Expertise in SQL and data management; knowledge of Python or R and data engineering concepts is a strong advantage.


• Highly developed analytical, problem\-solving, consulting, communication and stakeholder influence skills, with the ability to synthesize information into clear recommendations.


• Demonstrated ability to enable new launches, evolve data strategies and drive adoption of digital innovation that improves business outcomes and customer value.


• Demonstrates Novartis leadership behaviors, including ethical mindset.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people\-and\-culture

Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.

Read our handbook (PDF 30 MB)

Division
International
Business Unit
General Management
Location
Portugal
Site
Sintra
Company / Legal Entity
PT05 (FCRS \= PT005\) PT Pharma
Functional Area
Marketing
Job Type
Full time
Employment Type
Regular
Shift Work
No

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